Signal Processing Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Signal Processing Engineer at Slingshot, your duties will include development, prototyping, and characterization of novel signal and data processing algorithms, applied to data derived from GNSS receivers, communications systems, or other RF sensors. In addition, you will contribute to modeling and simulation for RF and other sensing modalities in support of Slingshot digital engineering products, internal analysis you will integrate these algorithms into existing Slingshot software products as well as engaging in analysis, research, and development. You will support product demonstrations to customers, business development, and outreach. Further, you will collaborate in drafting journal and/or conference papers and attend related events.

Pre-Requisites

• Must be a U.S. citizen eligible for government clearances

Requirements

• 5+ years experience in signal processing.
• MS/PhD in Electrical Engineering, Aerospace Engineering, Mathematics, or other relevant field
• Experience with signal processing for GNSS, remote sensing, sensor modeling, and/or RF communications
• Familiarity with algorithms and techniques for estimation, tracking, and navigation
• Experience with modeling and simulation
• Proficiency with one or more programming/scripting languages (Python, Java, Kotlin, C++) and git based software development 
• Excellent verbal communication and technical writing skills
• Comfort working in a rapidly moving startup environment 

Bonus Points for these Preferred Skills

• SCI eligible 
• Peer-reviewed publications in a related area
• Experience with supervised and unsupervised machine learning methods